Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

In this month’s “Hot Topic,” MelissaSnyder, Ph.D., will review the diagnostic testing algorithms for celiac disease and highlight the advantages and limitations of certain tests, including serology and genetic assays.

published:28 Feb 2018

views:342

The Medical Algorithms Company offers the word's largest platform of online medical calculators, algorithms, and clinical decision making tools for physicians and other healthcare professionals.

Dermoscopic diagnosis of pigmented lesions is based on the recognition of many different structures and patterns of pigmentation. These structures and patterns have been classified and defined. A consensus meeting in 1990 listed 22 different patterns and structures. Eight different variations of the pigment network alone were described. Learning twenty-two different criteria is cumbersome and confusing. Teaching that level of complexity is difficult. There have been several attempts to organize this material. Several methods to analyze pigmented lesions have been described.
The most widely used methods of classification and diagnosis are pattern analysis, the ABCD dermoscopy rule, the Menzies methods and the 7-point checklist.

published:12 May 2017

views:36

For more videos, check out our website at: http://videos.undergroundmed.net/

published:29 Apr 2012

views:23252

This discussion is about Tuberculosis and topics covered are the following:
-Symptoms
-Diagnostic Tests
-Disseminated Disease
-Therapy and Side effects of therapy
-Screening
This video tutorial clip continues the series of USMLE ALGORITHMS. Look out for book to be released late Spring.
ENJOY!!

published:07 Apr 2009

views:21082

A Guide to Deep Vein ThrombosisDiagnosis For Doctors and Nurseshttp://www.theveincarecentre.co.uk/
The diagnosis of Deep Vein Thrombosis is important. Clots in the legs can travel to the lungs causing pulmonary embolism and death. In fact pulmonary embolism -abbreviated to PE -is second only to cardiac events as a cause of sudden death. The media seems to regularly report the unexpected death of apparently previously healthy people from PE. The data are also striking: PE is the third commonest cause of death among patients in hospital and 60% of patients who die in hospital have PEs at post mortem examination. During pregnancy and shortly afterwards, PE is the leading cause of maternal mortality and morbidity in this country. But DVT can be very difficult to diagnose.
So how do we investigate patients thought to be at risk, without inundating our ultrasound service? In this short video, I will describe a diagnostic algorithm for DVT.
The most important step in making the diagnosis is thinking of it. For medico-legal reasons, this should always be documented in the differential diagnosis. There are a number of situations, which may alert you to the diagnosis of DVT. The following are common risk factors: hereditary thrombophilias such as Protein C deficiency, Protein S deficiency, Factor V Leiden mutation; Surgical predispositions such as recent major surgery; and acquired medical risks such as previous DVT or PE, malignancy, stroke, immobilisation inflammatory bowel disease, nephrotic syndrome.
The Wells Clinical Model for predicting the likelihood of a DVT is very helpful. Various clinical characteristics are given a score and if the score is less than 2, DVT is unlikely, if the score is 2 or greater the likelihood is described as likely. I will put a link in the description below to the reference, and if you pause the video you can read it in detail.
The diagnostic algorithm based on the Wells score is shown here. Patients in whom a diagnosis of DVT is being considered with a score of less than 2 have a D-dimer blood test. If the D-dimer is not raised – ie negative – the diagnosis of DVT may be safely excluded. Those with a raised D-dimer – ie positive – require an ultrasound scan. If this is negative, the diagnosis of DVT may be safely excluded and of course patients in whom the diagnosis is confirmed require treatment. If the scan is delayed, heparin treatment should be started. In patients with a Wells score of 2 or more, the algorithm is a little more complicated. If the D-dimer is negative and the ultrasound scan is negative, the diagnosis of DVT may be safely excluded. If the D-dimer is positive and the ultrasound scan is negative, many experts suggest that the ultrasound scan should be repeated a week later. The algorithm is shown and you can pause the video to study it.
In summary, the first step to diagnosing DVT is to consider it, secondly to apply the Wells ScoringSystem in addition to a D-dimer test and to follow the algorithms that I have presented. In your records, clearly document that you have considered the diagnosis and show that you have followed a recognised protocol. I hope you have found this video helpful. My name is Dr Haroun Gajraj, Thank you for watching.
References
http://onlinelibrary.wiley.com/doi/10.1111/j.1538-7836.2007.02493.x/full
https://www.nice.org.uk/guidance/cg144/chapter/recommendations#table-1-two-level-dvt-wells-scorea

published:26 Jul 2016

views:4454

Discussed in detailed about the most frequently used classification metric i.e accuracy and also covered the interesting conclusions about it.

published:29 Oct 2017

views:418

This video explains the complete workup of Cushing Syndrome, the causes, the diagnosis, and the full management. It is very thorough. I hope you enjoy

Overview

A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test and each leaf node represents a class label (decision taken after computing all attributes). The paths from root to leaf represents classification rules.

Mayo Clinic

Mayo Clinic is a nonprofit medical practice and medical research group based in Rochester, Minnesota. It is the first and largest integrated nonprofit medical group practice in the world, employing more than 3,800 physicians and scientists and 50,900 allied health staff. The practice specializes in treating difficult cases through tertiary care. It spends over $500 million a year on research.

Dr. William Worrall Mayo settled his family in Rochester in 1864 and opened a medical practice that evolved under his sons into Mayo Clinic. Mayo Clinic is widely regarded as one of the world's greatest hospitals and ranked No. 1 on the 2014–2015 U.S. News & World Report List of "Best Hospitals", maintaining a position near the top for more than 20 years. It has been on the list of America's "100 Best Companies to Work For" published by Fortune magazine for eight consecutive years. It continued to achieve this ranking through 2015.

In addition to their flagship hospital in Rochester, the Mayo Clinic has major campuses in Arizona and Florida. The Mayo Clinic Health System also operates affiliated facilities throughout Minnesota, Wisconsin, and Iowa.

Developing Diagnostic Algorithms from Medical Data

Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

Diagnostic Testing Algorithms for Celiac Disease [Hot Topic]

In this month’s “Hot Topic,” MelissaSnyder, Ph.D., will review the diagnostic testing algorithms for celiac disease and highlight the advantages and limitations of certain tests, including serology and genetic assays.

1:29

Medical Algorithms, Calculators & Clinical Decision Making Tools

Medical Algorithms, Calculators & Clinical Decision Making Tools

Medical Algorithms, Calculators & Clinical Decision Making Tools

The Medical Algorithms Company offers the word's largest platform of online medical calculators, algorithms, and clinical decision making tools for physicians and other healthcare professionals.

Dermoscopy Diagnostic Algorithms

Dermoscopic diagnosis of pigmented lesions is based on the recognition of many different structures and patterns of pigmentation. These structures and patterns have been classified and defined. A consensus meeting in 1990 listed 22 different patterns and structures. Eight different variations of the pigment network alone were described. Learning twenty-two different criteria is cumbersome and confusing. Teaching that level of complexity is difficult. There have been several attempts to organize this material. Several methods to analyze pigmented lesions have been described.
The most widely used methods of classification and diagnosis are pattern analysis, the ABCD dermoscopy rule, the Menzies methods and the 7-point checklist.

6:58

Generating a Differential Diagnosis [UndergroundMed]

Generating a Differential Diagnosis [UndergroundMed]

Generating a Differential Diagnosis [UndergroundMed]

For more videos, check out our website at: http://videos.undergroundmed.net/

6:59

USMLE ALGORITHMS: Tuberculosis

USMLE ALGORITHMS: Tuberculosis

USMLE ALGORITHMS: Tuberculosis

This discussion is about Tuberculosis and topics covered are the following:
-Symptoms
-Diagnostic Tests
-Disseminated Disease
-Therapy and Side effects of therapy
-Screening
This video tutorial clip continues the series of USMLE ALGORITHMS. Look out for book to be released late Spring.
ENJOY!!

5:04

A Guide to DVT Diagnosis For Health Professionals

A Guide to DVT Diagnosis For Health Professionals

A Guide to DVT Diagnosis For Health Professionals

A Guide to Deep Vein ThrombosisDiagnosis For Doctors and Nurseshttp://www.theveincarecentre.co.uk/
The diagnosis of Deep Vein Thrombosis is important. Clots in the legs can travel to the lungs causing pulmonary embolism and death. In fact pulmonary embolism -abbreviated to PE -is second only to cardiac events as a cause of sudden death. The media seems to regularly report the unexpected death of apparently previously healthy people from PE. The data are also striking: PE is the third commonest cause of death among patients in hospital and 60% of patients who die in hospital have PEs at post mortem examination. During pregnancy and shortly afterwards, PE is the leading cause of maternal mortality and morbidity in this country. But DVT can be very difficult to diagnose.
So how do we investigate patients thought to be at risk, without inundating our ultrasound service? In this short video, I will describe a diagnostic algorithm for DVT.
The most important step in making the diagnosis is thinking of it. For medico-legal reasons, this should always be documented in the differential diagnosis. There are a number of situations, which may alert you to the diagnosis of DVT. The following are common risk factors: hereditary thrombophilias such as Protein C deficiency, Protein S deficiency, Factor V Leiden mutation; Surgical predispositions such as recent major surgery; and acquired medical risks such as previous DVT or PE, malignancy, stroke, immobilisation inflammatory bowel disease, nephrotic syndrome.
The Wells Clinical Model for predicting the likelihood of a DVT is very helpful. Various clinical characteristics are given a score and if the score is less than 2, DVT is unlikely, if the score is 2 or greater the likelihood is described as likely. I will put a link in the description below to the reference, and if you pause the video you can read it in detail.
The diagnostic algorithm based on the Wells score is shown here. Patients in whom a diagnosis of DVT is being considered with a score of less than 2 have a D-dimer blood test. If the D-dimer is not raised – ie negative – the diagnosis of DVT may be safely excluded. Those with a raised D-dimer – ie positive – require an ultrasound scan. If this is negative, the diagnosis of DVT may be safely excluded and of course patients in whom the diagnosis is confirmed require treatment. If the scan is delayed, heparin treatment should be started. In patients with a Wells score of 2 or more, the algorithm is a little more complicated. If the D-dimer is negative and the ultrasound scan is negative, the diagnosis of DVT may be safely excluded. If the D-dimer is positive and the ultrasound scan is negative, many experts suggest that the ultrasound scan should be repeated a week later. The algorithm is shown and you can pause the video to study it.
In summary, the first step to diagnosing DVT is to consider it, secondly to apply the Wells ScoringSystem in addition to a D-dimer test and to follow the algorithms that I have presented. In your records, clearly document that you have considered the diagnosis and show that you have followed a recognised protocol. I hope you have found this video helpful. My name is Dr Haroun Gajraj, Thank you for watching.
References
http://onlinelibrary.wiley.com/doi/10.1111/j.1538-7836.2007.02493.x/full
https://www.nice.org.uk/guidance/cg144/chapter/recommendations#table-1-two-level-dvt-wells-scorea

7:50

Evaluation Metrics of Machine Learning Algorithms - Accuracy

Evaluation Metrics of Machine Learning Algorithms - Accuracy

Evaluation Metrics of Machine Learning Algorithms - Accuracy

Discussed in detailed about the most frequently used classification metric i.e accuracy and also covered the interesting conclusions about it.

6:44

USMLE ALGORITHMS: Cushing Syndrome

USMLE ALGORITHMS: Cushing Syndrome

USMLE ALGORITHMS: Cushing Syndrome

This video explains the complete workup of Cushing Syndrome, the causes, the diagnosis, and the full management. It is very thorough. I hope you enjoy

Sight Diagnostics - Parasight malaria detection device

Parasight is a breakthrough diagnostic solution for the quick and accurate detection of malaria using digital fluorescent microscopy and computer vision algorithms.
Healthcare providers have been searching for years for an alternative to manual microscopy, a time consuming method that requires trained personnel.
Parasight offers an accurate, cost-effective and simple-to-use solution that delivers extraordinary diagnostic accuracy (sensitivity/specificity of more than 98% @ 150 par/µL) with minimal training or maintenance.
To date, Parasight has been sold to healthcare providers in 16 countries across Asia, Africa, and Europe, with more than 300,000 malaria tests shipped.
Visithttp://www.sightdx.com to learn more.

5:30

Pulmonary Embolus Algorithm

Pulmonary Embolus Algorithm

Pulmonary Embolus Algorithm

This video explains the complete workup, and management of Pulmonary Embolus. This was done with a lot of research, and is an often times disputed topic, so please comment if you have any problems with the information. ENJOY!!

16:23

New CDC HIV Diagnostic Testing Algorithm

New CDC HIV Diagnostic Testing Algorithm

New CDC HIV Diagnostic Testing Algorithm

David Spach, MD - Find this and other presentations at http://depts.washington.edu/nwaetc/presentations/?PID=137

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, especially treponemal screening to monitor syphilis infection in the US. Come to this educational seminar to learn about key objectives in treponemal screening:
Discuss CDCGuidelines on treponemal screening: the necessity to perform two independent laboratory syphilis tests to confirm diagnosis
Describe diagnostic methods for diagnosing syphilis infection: the order in which they are performed impacts interpretation of results
Describe the potential benefits of screening with a treponema-specific IgG/IgM assay, followed by a non-treponemal test for confirmation: the “ReverseSequence” algorithm

This demo uses breast cancer biopsy data to train a machine learning predictive model in Microsoft Azure ML. First, diagnostic biopsy data is reviewed in Excel to discuss the case for machine learning. Second, a machine learning model is trained and published which can predict the likelihood of a cancer diagnosis from biopsy data. Finally, the machine learning model is called from Excel in an App that can be used as a diagnostic aid when reviewing new data.

Developing Diagnostic Algorithms from Medical Data

Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

Diagnostic Testing Algorithms for Celiac Disease [Hot Topic]

In this month’s “Hot Topic,” MelissaSnyder, Ph.D., will review the diagnostic testing algorithms for celiac disease and highlight the advantages and limitations of certain tests, including serology and genetic assays.

published: 28 Feb 2018

Medical Algorithms, Calculators & Clinical Decision Making Tools

The Medical Algorithms Company offers the word's largest platform of online medical calculators, algorithms, and clinical decision making tools for physicians and other healthcare professionals.

Dermoscopy Diagnostic Algorithms

Dermoscopic diagnosis of pigmented lesions is based on the recognition of many different structures and patterns of pigmentation. These structures and patterns have been classified and defined. A consensus meeting in 1990 listed 22 different patterns and structures. Eight different variations of the pigment network alone were described. Learning twenty-two different criteria is cumbersome and confusing. Teaching that level of complexity is difficult. There have been several attempts to organize this material. Several methods to analyze pigmented lesions have been described.
The most widely used methods of classification and diagnosis are pattern analysis, the ABCD dermoscopy rule, the Menzies methods and the 7-point checklist.

published: 12 May 2017

Generating a Differential Diagnosis [UndergroundMed]

For more videos, check out our website at: http://videos.undergroundmed.net/

published: 29 Apr 2012

USMLE ALGORITHMS: Tuberculosis

This discussion is about Tuberculosis and topics covered are the following:
-Symptoms
-Diagnostic Tests
-Disseminated Disease
-Therapy and Side effects of therapy
-Screening
This video tutorial clip continues the series of USMLE ALGORITHMS. Look out for book to be released late Spring.
ENJOY!!

published: 07 Apr 2009

A Guide to DVT Diagnosis For Health Professionals

A Guide to Deep Vein ThrombosisDiagnosis For Doctors and Nurseshttp://www.theveincarecentre.co.uk/
The diagnosis of Deep Vein Thrombosis is important. Clots in the legs can travel to the lungs causing pulmonary embolism and death. In fact pulmonary embolism -abbreviated to PE -is second only to cardiac events as a cause of sudden death. The media seems to regularly report the unexpected death of apparently previously healthy people from PE. The data are also striking: PE is the third commonest cause of death among patients in hospital and 60% of patients who die in hospital have PEs at post mortem examination. During pregnancy and shortly afterwards, PE is the leading cause of maternal mortality and morbidity in this country. But DVT can be very difficult to diagnose.
So how do we inve...

published: 26 Jul 2016

Evaluation Metrics of Machine Learning Algorithms - Accuracy

Discussed in detailed about the most frequently used classification metric i.e accuracy and also covered the interesting conclusions about it.

published: 29 Oct 2017

USMLE ALGORITHMS: Cushing Syndrome

This video explains the complete workup of Cushing Syndrome, the causes, the diagnosis, and the full management. It is very thorough. I hope you enjoy

Sight Diagnostics - Parasight malaria detection device

Parasight is a breakthrough diagnostic solution for the quick and accurate detection of malaria using digital fluorescent microscopy and computer vision algorithms.
Healthcare providers have been searching for years for an alternative to manual microscopy, a time consuming method that requires trained personnel.
Parasight offers an accurate, cost-effective and simple-to-use solution that delivers extraordinary diagnostic accuracy (sensitivity/specificity of more than 98% @ 150 par/µL) with minimal training or maintenance.
To date, Parasight has been sold to healthcare providers in 16 countries across Asia, Africa, and Europe, with more than 300,000 malaria tests shipped.
Visithttp://www.sightdx.com to learn more.

published: 03 Sep 2017

Pulmonary Embolus Algorithm

This video explains the complete workup, and management of Pulmonary Embolus. This was done with a lot of research, and is an often times disputed topic, so please comment if you have any problems with the information. ENJOY!!

published: 24 Nov 2009

New CDC HIV Diagnostic Testing Algorithm

David Spach, MD - Find this and other presentations at http://depts.washington.edu/nwaetc/presentations/?PID=137

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, especially treponemal screening to monitor syphilis infection in the US. Come to this educational seminar to learn about key objectives in treponemal screening:
Discuss CDCGuidelines on treponemal screening: the necessity to perform two independent laboratory syphilis tests to confirm diagnosis
Describe diagnostic methods for diagnosing syphilis infection: the order in which they are performed impacts interpretation of results
Describe the potential benefits of screening with a treponema-specific IgG/IgM assay, followed by a non-treponemal test for confirmation: the “ReverseSequence” algorithm

This demo uses breast cancer biopsy data to train a machine learning predictive model in Microsoft Azure ML. First, diagnostic biopsy data is reviewed in Excel to discuss the case for machine learning. Second, a machine learning model is trained and published which can predict the likelihood of a cancer diagnosis from biopsy data. Finally, the machine learning model is called from Excel in an App that can be used as a diagnostic aid when reviewing new data.

Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

Diagnostic Testing Algorithms for Celiac Disease [Hot Topic]

In this month’s “Hot Topic,” MelissaSnyder, Ph.D., will review the diagnostic testing algorithms for celiac disease and highlight the advantages and limitation...

In this month’s “Hot Topic,” MelissaSnyder, Ph.D., will review the diagnostic testing algorithms for celiac disease and highlight the advantages and limitations of certain tests, including serology and genetic assays.

In this month’s “Hot Topic,” MelissaSnyder, Ph.D., will review the diagnostic testing algorithms for celiac disease and highlight the advantages and limitations of certain tests, including serology and genetic assays.

Dermoscopy Diagnostic Algorithms

Dermoscopic diagnosis of pigmented lesions is based on the recognition of many different structures and patterns of pigmentation. These structures and patte...

Dermoscopic diagnosis of pigmented lesions is based on the recognition of many different structures and patterns of pigmentation. These structures and patterns have been classified and defined. A consensus meeting in 1990 listed 22 different patterns and structures. Eight different variations of the pigment network alone were described. Learning twenty-two different criteria is cumbersome and confusing. Teaching that level of complexity is difficult. There have been several attempts to organize this material. Several methods to analyze pigmented lesions have been described.
The most widely used methods of classification and diagnosis are pattern analysis, the ABCD dermoscopy rule, the Menzies methods and the 7-point checklist.

Dermoscopic diagnosis of pigmented lesions is based on the recognition of many different structures and patterns of pigmentation. These structures and patterns have been classified and defined. A consensus meeting in 1990 listed 22 different patterns and structures. Eight different variations of the pigment network alone were described. Learning twenty-two different criteria is cumbersome and confusing. Teaching that level of complexity is difficult. There have been several attempts to organize this material. Several methods to analyze pigmented lesions have been described.
The most widely used methods of classification and diagnosis are pattern analysis, the ABCD dermoscopy rule, the Menzies methods and the 7-point checklist.

USMLE ALGORITHMS: Tuberculosis

This discussion is about Tuberculosis and topics covered are the following:
-Symptoms
-Diagnostic Tests
-Disseminated Disease
-Therapy and Side effects of t...

This discussion is about Tuberculosis and topics covered are the following:
-Symptoms
-Diagnostic Tests
-Disseminated Disease
-Therapy and Side effects of therapy
-Screening
This video tutorial clip continues the series of USMLE ALGORITHMS. Look out for book to be released late Spring.
ENJOY!!

This discussion is about Tuberculosis and topics covered are the following:
-Symptoms
-Diagnostic Tests
-Disseminated Disease
-Therapy and Side effects of therapy
-Screening
This video tutorial clip continues the series of USMLE ALGORITHMS. Look out for book to be released late Spring.
ENJOY!!

A Guide to Deep Vein ThrombosisDiagnosis For Doctors and Nurseshttp://www.theveincarecentre.co.uk/
The diagnosis of Deep Vein Thrombosis is important. Clots in the legs can travel to the lungs causing pulmonary embolism and death. In fact pulmonary embolism -abbreviated to PE -is second only to cardiac events as a cause of sudden death. The media seems to regularly report the unexpected death of apparently previously healthy people from PE. The data are also striking: PE is the third commonest cause of death among patients in hospital and 60% of patients who die in hospital have PEs at post mortem examination. During pregnancy and shortly afterwards, PE is the leading cause of maternal mortality and morbidity in this country. But DVT can be very difficult to diagnose.
So how do we investigate patients thought to be at risk, without inundating our ultrasound service? In this short video, I will describe a diagnostic algorithm for DVT.
The most important step in making the diagnosis is thinking of it. For medico-legal reasons, this should always be documented in the differential diagnosis. There are a number of situations, which may alert you to the diagnosis of DVT. The following are common risk factors: hereditary thrombophilias such as Protein C deficiency, Protein S deficiency, Factor V Leiden mutation; Surgical predispositions such as recent major surgery; and acquired medical risks such as previous DVT or PE, malignancy, stroke, immobilisation inflammatory bowel disease, nephrotic syndrome.
The Wells Clinical Model for predicting the likelihood of a DVT is very helpful. Various clinical characteristics are given a score and if the score is less than 2, DVT is unlikely, if the score is 2 or greater the likelihood is described as likely. I will put a link in the description below to the reference, and if you pause the video you can read it in detail.
The diagnostic algorithm based on the Wells score is shown here. Patients in whom a diagnosis of DVT is being considered with a score of less than 2 have a D-dimer blood test. If the D-dimer is not raised – ie negative – the diagnosis of DVT may be safely excluded. Those with a raised D-dimer – ie positive – require an ultrasound scan. If this is negative, the diagnosis of DVT may be safely excluded and of course patients in whom the diagnosis is confirmed require treatment. If the scan is delayed, heparin treatment should be started. In patients with a Wells score of 2 or more, the algorithm is a little more complicated. If the D-dimer is negative and the ultrasound scan is negative, the diagnosis of DVT may be safely excluded. If the D-dimer is positive and the ultrasound scan is negative, many experts suggest that the ultrasound scan should be repeated a week later. The algorithm is shown and you can pause the video to study it.
In summary, the first step to diagnosing DVT is to consider it, secondly to apply the Wells ScoringSystem in addition to a D-dimer test and to follow the algorithms that I have presented. In your records, clearly document that you have considered the diagnosis and show that you have followed a recognised protocol. I hope you have found this video helpful. My name is Dr Haroun Gajraj, Thank you for watching.
References
http://onlinelibrary.wiley.com/doi/10.1111/j.1538-7836.2007.02493.x/full
https://www.nice.org.uk/guidance/cg144/chapter/recommendations#table-1-two-level-dvt-wells-scorea

A Guide to Deep Vein ThrombosisDiagnosis For Doctors and Nurseshttp://www.theveincarecentre.co.uk/
The diagnosis of Deep Vein Thrombosis is important. Clots in the legs can travel to the lungs causing pulmonary embolism and death. In fact pulmonary embolism -abbreviated to PE -is second only to cardiac events as a cause of sudden death. The media seems to regularly report the unexpected death of apparently previously healthy people from PE. The data are also striking: PE is the third commonest cause of death among patients in hospital and 60% of patients who die in hospital have PEs at post mortem examination. During pregnancy and shortly afterwards, PE is the leading cause of maternal mortality and morbidity in this country. But DVT can be very difficult to diagnose.
So how do we investigate patients thought to be at risk, without inundating our ultrasound service? In this short video, I will describe a diagnostic algorithm for DVT.
The most important step in making the diagnosis is thinking of it. For medico-legal reasons, this should always be documented in the differential diagnosis. There are a number of situations, which may alert you to the diagnosis of DVT. The following are common risk factors: hereditary thrombophilias such as Protein C deficiency, Protein S deficiency, Factor V Leiden mutation; Surgical predispositions such as recent major surgery; and acquired medical risks such as previous DVT or PE, malignancy, stroke, immobilisation inflammatory bowel disease, nephrotic syndrome.
The Wells Clinical Model for predicting the likelihood of a DVT is very helpful. Various clinical characteristics are given a score and if the score is less than 2, DVT is unlikely, if the score is 2 or greater the likelihood is described as likely. I will put a link in the description below to the reference, and if you pause the video you can read it in detail.
The diagnostic algorithm based on the Wells score is shown here. Patients in whom a diagnosis of DVT is being considered with a score of less than 2 have a D-dimer blood test. If the D-dimer is not raised – ie negative – the diagnosis of DVT may be safely excluded. Those with a raised D-dimer – ie positive – require an ultrasound scan. If this is negative, the diagnosis of DVT may be safely excluded and of course patients in whom the diagnosis is confirmed require treatment. If the scan is delayed, heparin treatment should be started. In patients with a Wells score of 2 or more, the algorithm is a little more complicated. If the D-dimer is negative and the ultrasound scan is negative, the diagnosis of DVT may be safely excluded. If the D-dimer is positive and the ultrasound scan is negative, many experts suggest that the ultrasound scan should be repeated a week later. The algorithm is shown and you can pause the video to study it.
In summary, the first step to diagnosing DVT is to consider it, secondly to apply the Wells ScoringSystem in addition to a D-dimer test and to follow the algorithms that I have presented. In your records, clearly document that you have considered the diagnosis and show that you have followed a recognised protocol. I hope you have found this video helpful. My name is Dr Haroun Gajraj, Thank you for watching.
References
http://onlinelibrary.wiley.com/doi/10.1111/j.1538-7836.2007.02493.x/full
https://www.nice.org.uk/guidance/cg144/chapter/recommendations#table-1-two-level-dvt-wells-scorea

Sight Diagnostics - Parasight malaria detection device

Parasight is a breakthrough diagnostic solution for the quick and accurate detection of malaria using digital fluorescent microscopy and computer vision algorit...

Parasight is a breakthrough diagnostic solution for the quick and accurate detection of malaria using digital fluorescent microscopy and computer vision algorithms.
Healthcare providers have been searching for years for an alternative to manual microscopy, a time consuming method that requires trained personnel.
Parasight offers an accurate, cost-effective and simple-to-use solution that delivers extraordinary diagnostic accuracy (sensitivity/specificity of more than 98% @ 150 par/µL) with minimal training or maintenance.
To date, Parasight has been sold to healthcare providers in 16 countries across Asia, Africa, and Europe, with more than 300,000 malaria tests shipped.
Visithttp://www.sightdx.com to learn more.

Parasight is a breakthrough diagnostic solution for the quick and accurate detection of malaria using digital fluorescent microscopy and computer vision algorithms.
Healthcare providers have been searching for years for an alternative to manual microscopy, a time consuming method that requires trained personnel.
Parasight offers an accurate, cost-effective and simple-to-use solution that delivers extraordinary diagnostic accuracy (sensitivity/specificity of more than 98% @ 150 par/µL) with minimal training or maintenance.
To date, Parasight has been sold to healthcare providers in 16 countries across Asia, Africa, and Europe, with more than 300,000 malaria tests shipped.
Visithttp://www.sightdx.com to learn more.

Pulmonary Embolus Algorithm

This video explains the complete workup, and management of Pulmonary Embolus. This was done with a lot of research, and is an often times disputed topic, so pl...

This video explains the complete workup, and management of Pulmonary Embolus. This was done with a lot of research, and is an often times disputed topic, so please comment if you have any problems with the information. ENJOY!!

This video explains the complete workup, and management of Pulmonary Embolus. This was done with a lot of research, and is an often times disputed topic, so please comment if you have any problems with the information. ENJOY!!

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, esp...

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, especially treponemal screening to monitor syphilis infection in the US. Come to this educational seminar to learn about key objectives in treponemal screening:
Discuss CDCGuidelines on treponemal screening: the necessity to perform two independent laboratory syphilis tests to confirm diagnosis
Describe diagnostic methods for diagnosing syphilis infection: the order in which they are performed impacts interpretation of results
Describe the potential benefits of screening with a treponema-specific IgG/IgM assay, followed by a non-treponemal test for confirmation: the “ReverseSequence” algorithm

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, especially treponemal screening to monitor syphilis infection in the US. Come to this educational seminar to learn about key objectives in treponemal screening:
Discuss CDCGuidelines on treponemal screening: the necessity to perform two independent laboratory syphilis tests to confirm diagnosis
Describe diagnostic methods for diagnosing syphilis infection: the order in which they are performed impacts interpretation of results
Describe the potential benefits of screening with a treponema-specific IgG/IgM assay, followed by a non-treponemal test for confirmation: the “ReverseSequence” algorithm

This demo uses breast cancer biopsy data to train a machine learning predictive model in Microsoft Azure ML. First, diagnostic biopsy data is reviewed in Excel to discuss the case for machine learning. Second, a machine learning model is trained and published which can predict the likelihood of a cancer diagnosis from biopsy data. Finally, the machine learning model is called from Excel in an App that can be used as a diagnostic aid when reviewing new data.

This demo uses breast cancer biopsy data to train a machine learning predictive model in Microsoft Azure ML. First, diagnostic biopsy data is reviewed in Excel to discuss the case for machine learning. Second, a machine learning model is trained and published which can predict the likelihood of a cancer diagnosis from biopsy data. Finally, the machine learning model is called from Excel in an App that can be used as a diagnostic aid when reviewing new data.

Developing Diagnostic Algorithms from Medical Data

Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, especially treponemal screening to monitor syphilis infection in the US. Come to this educational seminar to learn about key objectives in treponemal screening:
Discuss CDCGuidelines on treponemal screening: the necessity to perform two independent laboratory syphilis tests to confirm diagnosis
Describe diagnostic methods for diagnosing syphilis infection: the order in which they are performed impacts interpretation of results
Describe the potential benefits of screening with a treponema-specific IgG/IgM assay, followed by a non-treponemal test for confirmation: the “ReverseSequence” algorithm

published: 25 Jun 2015

HIV Diagnostics: New Tests and New Algorithms

This presentation July 2013 by Dr Bernard Branson from the CDC, highlights the latest HIV screening and supplemental tests available and how these tests fit within the new HIV laboratory testing algorithm.

In the United States, current HIV diagnostic algorithms based solely on serologic criteria for infection are inadequate for the timely diagnosis of acute or early HIV infection. Dr. Robert Coombs, professor of Laboratory Medicine and Medicine at the University of Washington, advises that future diagnostic algorithms should embrace simple/rapid antibody and HIV nucleic acid testing to support efforts to incorporate the concept of "presumptive HIV infection" into the early reporting of HIV test results. These simple/rapid test devices for detecting HIV infection will be very useful for point-of-care HIV testing in both resource-rich and resource- limited settings, but the limitations of these tests must be considered. A greater effort should be made to educate health care providers about the...

Bayes, Medical Diagnostics, and Nomograms

(April 11, 2012) Joe Marasco shares his beliefs on how modern diagnostics and medical testing can be changed to give patients a clearer understanding of the results. He suggests implementing a new protocol using Bayes theorem and certain medical technologies to help explain testing results more effectively to patients.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
StanfordComputer Systems Colloquium:
http://www.stanford.edu/class/ee380/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Diagnostics 101 with Jon Skeet

No-one writes software without getting stuck from time to time. Whether it's an API not working as expected, an algorithm not producing the right results, or a vexing exception, it's a rare day when coding is just plain sailing. So what do you do when you hit a problem?
In this talk I'll walk through some strategies and techniques so that you can:
- Narrow down where a problem occurs
- Reproduce the problem in a debug-friendly environment
- Write a log as you go, to avoid going down blind alleys multiple times
- Capture your problem concisely but precisely, to ask colleagues for help, report a bug or post on Stack Overflow.
While there are no true silver bullets in computing, the ability to work on solving problems in a methodical way is as close as I've found. Level up today!
Speaker:...

Sympathy and Confidence are new fault remediation systems that improve the quality and quantity of data recovered from embedded networked sensing (ENS) systems. Unreliable collection systems result in missing data points, and faulty or confusing sensor data further reduce the quantity of usable data recovered from a deployment. Unfortunately faults in ENS systems occur at a higher rate, and are harder to find and fix, compared with conventional systems. I will talk about two methodologies that we have developed to find and fix faults in ENS deployments. Sympathy uses a high-level decision tree to analyze a small set of carefully chosen metrics and to suggest actions users can take to fix data-flow disruptions in the network. Sympathy has been effective for managing network health in nu...

Automatic Failure Diagnosis in Large-Scale Systems

As modern computer systems grow in both size and complexity, so has the need for automatic analysis and computer-aided administration of these systems. With recent booms in computing power and efficient algorithms, statistical machine learning methods have become increasingly practical for dealing with the deluge of data generated by these systems. In this talk, I present statistical diagnostic platforms for several large-scale systems, focusing on the problem of selecting fault-related components from a long list of potential candidates. Examples include a distributed software monitoring system for automatic debugging, and a probing system for detecting failures on clusters of network computers.

published: 06 Sep 2016

Acupuncture with VedaPulse

During this webinar you will learn about basic methods used in TCM to influence points.
We will examine diagnostic algorithms of TCM that allowed creating a simple and precise VedaPulse technology.
You will learn about the main treatment methods using the VedaPulse examples. You will also get some practical tips for improving your immunity.
Seminar consists of the following topics:
- Acupuncture and moxibustion as basic methods of TCM (Traditional Chinese Medicine)
- Ancient and modern methods of diagnosis in TCM
- Main treatment methods with VedaPulse
Expert: Sergey Kosintsev, PhD, reflexologist, a specialist of Traditional Chinese Medicine
Duration: 1.5 hours

published: 21 Aug 2015

Algorithms, Scoring Metrics, Privacy and more in today’s Healthcare business world: Barbara Duck

Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, esp...

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, especially treponemal screening to monitor syphilis infection in the US. Come to this educational seminar to learn about key objectives in treponemal screening:
Discuss CDCGuidelines on treponemal screening: the necessity to perform two independent laboratory syphilis tests to confirm diagnosis
Describe diagnostic methods for diagnosing syphilis infection: the order in which they are performed impacts interpretation of results
Describe the potential benefits of screening with a treponema-specific IgG/IgM assay, followed by a non-treponemal test for confirmation: the “ReverseSequence” algorithm

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, especially treponemal screening to monitor syphilis infection in the US. Come to this educational seminar to learn about key objectives in treponemal screening:
Discuss CDCGuidelines on treponemal screening: the necessity to perform two independent laboratory syphilis tests to confirm diagnosis
Describe diagnostic methods for diagnosing syphilis infection: the order in which they are performed impacts interpretation of results
Describe the potential benefits of screening with a treponema-specific IgG/IgM assay, followed by a non-treponemal test for confirmation: the “ReverseSequence” algorithm

HIV Diagnostics: New Tests and New Algorithms

This presentation July 2013 by Dr Bernard Branson from the CDC, highlights the latest HIV screening and supplemental tests available and how these tests fit wit...

This presentation July 2013 by Dr Bernard Branson from the CDC, highlights the latest HIV screening and supplemental tests available and how these tests fit within the new HIV laboratory testing algorithm.

This presentation July 2013 by Dr Bernard Branson from the CDC, highlights the latest HIV screening and supplemental tests available and how these tests fit within the new HIV laboratory testing algorithm.

In the United States, current HIV diagnostic algorithms based solely on serologic criteria for infection are inadequate for the timely diagnosis of acute or ear...

In the United States, current HIV diagnostic algorithms based solely on serologic criteria for infection are inadequate for the timely diagnosis of acute or early HIV infection. Dr. Robert Coombs, professor of Laboratory Medicine and Medicine at the University of Washington, advises that future diagnostic algorithms should embrace simple/rapid antibody and HIV nucleic acid testing to support efforts to incorporate the concept of "presumptive HIV infection" into the early reporting of HIV test results. These simple/rapid test devices for detecting HIV infection will be very useful for point-of-care HIV testing in both resource-rich and resource- limited settings, but the limitations of these tests must be considered. A greater effort should be made to educate health care providers about the need for HIV diagnostic algorithms that incorporate these simple/rapid HIV test devices.
Robert Coombs, MD, PhD

In the United States, current HIV diagnostic algorithms based solely on serologic criteria for infection are inadequate for the timely diagnosis of acute or early HIV infection. Dr. Robert Coombs, professor of Laboratory Medicine and Medicine at the University of Washington, advises that future diagnostic algorithms should embrace simple/rapid antibody and HIV nucleic acid testing to support efforts to incorporate the concept of "presumptive HIV infection" into the early reporting of HIV test results. These simple/rapid test devices for detecting HIV infection will be very useful for point-of-care HIV testing in both resource-rich and resource- limited settings, but the limitations of these tests must be considered. A greater effort should be made to educate health care providers about the need for HIV diagnostic algorithms that incorporate these simple/rapid HIV test devices.
Robert Coombs, MD, PhD

Bayes, Medical Diagnostics, and Nomograms

(April 11, 2012) Joe Marasco shares his beliefs on how modern diagnostics and medical testing can be changed to give patients a clearer understanding of the res...

(April 11, 2012) Joe Marasco shares his beliefs on how modern diagnostics and medical testing can be changed to give patients a clearer understanding of the results. He suggests implementing a new protocol using Bayes theorem and certain medical technologies to help explain testing results more effectively to patients.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
StanfordComputer Systems Colloquium:
http://www.stanford.edu/class/ee380/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford

(April 11, 2012) Joe Marasco shares his beliefs on how modern diagnostics and medical testing can be changed to give patients a clearer understanding of the results. He suggests implementing a new protocol using Bayes theorem and certain medical technologies to help explain testing results more effectively to patients.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
StanfordComputer Systems Colloquium:
http://www.stanford.edu/class/ee380/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Diagnostics 101 with Jon Skeet

No-one writes software without getting stuck from time to time. Whether it's an API not working as expected, an algorithm not producing the right results, or a ...

No-one writes software without getting stuck from time to time. Whether it's an API not working as expected, an algorithm not producing the right results, or a vexing exception, it's a rare day when coding is just plain sailing. So what do you do when you hit a problem?
In this talk I'll walk through some strategies and techniques so that you can:
- Narrow down where a problem occurs
- Reproduce the problem in a debug-friendly environment
- Write a log as you go, to avoid going down blind alleys multiple times
- Capture your problem concisely but precisely, to ask colleagues for help, report a bug or post on Stack Overflow.
While there are no true silver bullets in computing, the ability to work on solving problems in a methodical way is as close as I've found. Level up today!
Speaker: Jon Skeet (Special guest - Microsoft MVP)

No-one writes software without getting stuck from time to time. Whether it's an API not working as expected, an algorithm not producing the right results, or a vexing exception, it's a rare day when coding is just plain sailing. So what do you do when you hit a problem?
In this talk I'll walk through some strategies and techniques so that you can:
- Narrow down where a problem occurs
- Reproduce the problem in a debug-friendly environment
- Write a log as you go, to avoid going down blind alleys multiple times
- Capture your problem concisely but precisely, to ask colleagues for help, report a bug or post on Stack Overflow.
While there are no true silver bullets in computing, the ability to work on solving problems in a methodical way is as close as I've found. Level up today!
Speaker: Jon Skeet (Special guest - Microsoft MVP)

Sympathy and Confidence are new fault remediation systems that improve the quality and quantity of data recovered from embedded networked sensing (ENS) systems....

Sympathy and Confidence are new fault remediation systems that improve the quality and quantity of data recovered from embedded networked sensing (ENS) systems. Unreliable collection systems result in missing data points, and faulty or confusing sensor data further reduce the quantity of usable data recovered from a deployment. Unfortunately faults in ENS systems occur at a higher rate, and are harder to find and fix, compared with conventional systems. I will talk about two methodologies that we have developed to find and fix faults in ENS deployments. Sympathy uses a high-level decision tree to analyze a small set of carefully chosen metrics and to suggest actions users can take to fix data-flow disruptions in the network. Sympathy has been effective for managing network health in numerous real-world deployments since 2006, but its static algorithms proved insufficient for data faults. Our second system, Confidence, combines the successes of Sympathy with dynamic algorithms that more readily adapt to detecting data faults in new and unexpected environments. Confidence builds on three key ideas: 1) A flexible, multidimensional feature space that tends to group nodes and sensors that have similar fault states; 2) a transparent system design that both aids and profits from the user's intuition; and 3) efficient incorporation of user feedback into fault detection and diagnosis algorithms. User feedback, in particular, makes Confidence quickly adapt to new deployment scenarios and previously unobserved types of faults. We have successfully deployed both Sympathy and Confidence alongside many ENS deployments in California and Bangladesh, including a long-term deployment at James Reserve of 130 sensors.

Sympathy and Confidence are new fault remediation systems that improve the quality and quantity of data recovered from embedded networked sensing (ENS) systems. Unreliable collection systems result in missing data points, and faulty or confusing sensor data further reduce the quantity of usable data recovered from a deployment. Unfortunately faults in ENS systems occur at a higher rate, and are harder to find and fix, compared with conventional systems. I will talk about two methodologies that we have developed to find and fix faults in ENS deployments. Sympathy uses a high-level decision tree to analyze a small set of carefully chosen metrics and to suggest actions users can take to fix data-flow disruptions in the network. Sympathy has been effective for managing network health in numerous real-world deployments since 2006, but its static algorithms proved insufficient for data faults. Our second system, Confidence, combines the successes of Sympathy with dynamic algorithms that more readily adapt to detecting data faults in new and unexpected environments. Confidence builds on three key ideas: 1) A flexible, multidimensional feature space that tends to group nodes and sensors that have similar fault states; 2) a transparent system design that both aids and profits from the user's intuition; and 3) efficient incorporation of user feedback into fault detection and diagnosis algorithms. User feedback, in particular, makes Confidence quickly adapt to new deployment scenarios and previously unobserved types of faults. We have successfully deployed both Sympathy and Confidence alongside many ENS deployments in California and Bangladesh, including a long-term deployment at James Reserve of 130 sensors.

Automatic Failure Diagnosis in Large-Scale Systems

As modern computer systems grow in both size and complexity, so has the need for automatic analysis and computer-aided administration of these systems. With re...

As modern computer systems grow in both size and complexity, so has the need for automatic analysis and computer-aided administration of these systems. With recent booms in computing power and efficient algorithms, statistical machine learning methods have become increasingly practical for dealing with the deluge of data generated by these systems. In this talk, I present statistical diagnostic platforms for several large-scale systems, focusing on the problem of selecting fault-related components from a long list of potential candidates. Examples include a distributed software monitoring system for automatic debugging, and a probing system for detecting failures on clusters of network computers.

As modern computer systems grow in both size and complexity, so has the need for automatic analysis and computer-aided administration of these systems. With recent booms in computing power and efficient algorithms, statistical machine learning methods have become increasingly practical for dealing with the deluge of data generated by these systems. In this talk, I present statistical diagnostic platforms for several large-scale systems, focusing on the problem of selecting fault-related components from a long list of potential candidates. Examples include a distributed software monitoring system for automatic debugging, and a probing system for detecting failures on clusters of network computers.

Acupuncture with VedaPulse

During this webinar you will learn about basic methods used in TCM to influence points.
We will examine diagnostic algorithms of TCM that allowed creating a si...

During this webinar you will learn about basic methods used in TCM to influence points.
We will examine diagnostic algorithms of TCM that allowed creating a simple and precise VedaPulse technology.
You will learn about the main treatment methods using the VedaPulse examples. You will also get some practical tips for improving your immunity.
Seminar consists of the following topics:
- Acupuncture and moxibustion as basic methods of TCM (Traditional Chinese Medicine)
- Ancient and modern methods of diagnosis in TCM
- Main treatment methods with VedaPulse
Expert: Sergey Kosintsev, PhD, reflexologist, a specialist of Traditional Chinese Medicine
Duration: 1.5 hours

During this webinar you will learn about basic methods used in TCM to influence points.
We will examine diagnostic algorithms of TCM that allowed creating a simple and precise VedaPulse technology.
You will learn about the main treatment methods using the VedaPulse examples. You will also get some practical tips for improving your immunity.
Seminar consists of the following topics:
- Acupuncture and moxibustion as basic methods of TCM (Traditional Chinese Medicine)
- Ancient and modern methods of diagnosis in TCM
- Main treatment methods with VedaPulse
Expert: Sergey Kosintsev, PhD, reflexologist, a specialist of Traditional Chinese Medicine
Duration: 1.5 hours

Developing Diagnostic Algorithms from Medical Data

Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

3:26

Rome IV diagnostic algorithms for irritable bowel syndrome (IBS)

Prof. Jan Tack, Head of Clinic, Department of Gastroenterology, University of Leuven

Diagnostic Testing Algorithms for Celiac Disease [Hot Topic]

In this month’s “Hot Topic,” MelissaSnyder, Ph.D., will review the diagnostic testing algorithms for celiac disease and highlight the advantages and limitations of certain tests, including serology and genetic assays.

1:29

Medical Algorithms, Calculators & Clinical Decision Making Tools

The Medical Algorithms Company offers the word's largest platform of online medical calcul...

Dermoscopy Diagnostic Algorithms

Dermoscopic diagnosis of pigmented lesions is based on the recognition of many different structures and patterns of pigmentation. These structures and patterns have been classified and defined. A consensus meeting in 1990 listed 22 different patterns and structures. Eight different variations of the pigment network alone were described. Learning twenty-two different criteria is cumbersome and confusing. Teaching that level of complexity is difficult. There have been several attempts to organize this material. Several methods to analyze pigmented lesions have been described.
The most widely used methods of classification and diagnosis are pattern analysis, the ABCD dermoscopy rule, the Menzies methods and the 7-point checklist.

6:58

Generating a Differential Diagnosis [UndergroundMed]

For more videos, check out our website at: http://videos.undergroundmed.net/

USMLE ALGORITHMS: Tuberculosis

This discussion is about Tuberculosis and topics covered are the following:
-Symptoms
-Diagnostic Tests
-Disseminated Disease
-Therapy and Side effects of therapy
-Screening
This video tutorial clip continues the series of USMLE ALGORITHMS. Look out for book to be released late Spring.
ENJOY!!

5:04

A Guide to DVT Diagnosis For Health Professionals

A Guide to Deep Vein Thrombosis Diagnosis For Doctors and Nurses
http://www.theveincarecen...

A Guide to DVT Diagnosis For Health Professionals

A Guide to Deep Vein ThrombosisDiagnosis For Doctors and Nurseshttp://www.theveincarecentre.co.uk/
The diagnosis of Deep Vein Thrombosis is important. Clots in the legs can travel to the lungs causing pulmonary embolism and death. In fact pulmonary embolism -abbreviated to PE -is second only to cardiac events as a cause of sudden death. The media seems to regularly report the unexpected death of apparently previously healthy people from PE. The data are also striking: PE is the third commonest cause of death among patients in hospital and 60% of patients who die in hospital have PEs at post mortem examination. During pregnancy and shortly afterwards, PE is the leading cause of maternal mortality and morbidity in this country. But DVT can be very difficult to diagnose.
So how do we investigate patients thought to be at risk, without inundating our ultrasound service? In this short video, I will describe a diagnostic algorithm for DVT.
The most important step in making the diagnosis is thinking of it. For medico-legal reasons, this should always be documented in the differential diagnosis. There are a number of situations, which may alert you to the diagnosis of DVT. The following are common risk factors: hereditary thrombophilias such as Protein C deficiency, Protein S deficiency, Factor V Leiden mutation; Surgical predispositions such as recent major surgery; and acquired medical risks such as previous DVT or PE, malignancy, stroke, immobilisation inflammatory bowel disease, nephrotic syndrome.
The Wells Clinical Model for predicting the likelihood of a DVT is very helpful. Various clinical characteristics are given a score and if the score is less than 2, DVT is unlikely, if the score is 2 or greater the likelihood is described as likely. I will put a link in the description below to the reference, and if you pause the video you can read it in detail.
The diagnostic algorithm based on the Wells score is shown here. Patients in whom a diagnosis of DVT is being considered with a score of less than 2 have a D-dimer blood test. If the D-dimer is not raised – ie negative – the diagnosis of DVT may be safely excluded. Those with a raised D-dimer – ie positive – require an ultrasound scan. If this is negative, the diagnosis of DVT may be safely excluded and of course patients in whom the diagnosis is confirmed require treatment. If the scan is delayed, heparin treatment should be started. In patients with a Wells score of 2 or more, the algorithm is a little more complicated. If the D-dimer is negative and the ultrasound scan is negative, the diagnosis of DVT may be safely excluded. If the D-dimer is positive and the ultrasound scan is negative, many experts suggest that the ultrasound scan should be repeated a week later. The algorithm is shown and you can pause the video to study it.
In summary, the first step to diagnosing DVT is to consider it, secondly to apply the Wells ScoringSystem in addition to a D-dimer test and to follow the algorithms that I have presented. In your records, clearly document that you have considered the diagnosis and show that you have followed a recognised protocol. I hope you have found this video helpful. My name is Dr Haroun Gajraj, Thank you for watching.
References
http://onlinelibrary.wiley.com/doi/10.1111/j.1538-7836.2007.02493.x/full
https://www.nice.org.uk/guidance/cg144/chapter/recommendations#table-1-two-level-dvt-wells-scorea

7:50

Evaluation Metrics of Machine Learning Algorithms - Accuracy

Discussed in detailed about the most frequently used classification metric i.e accuracy an...

Sight Diagnostics - Parasight malaria detection device

Parasight is a breakthrough diagnostic solution for the quick and accurate detection of malaria using digital fluorescent microscopy and computer vision algorithms.
Healthcare providers have been searching for years for an alternative to manual microscopy, a time consuming method that requires trained personnel.
Parasight offers an accurate, cost-effective and simple-to-use solution that delivers extraordinary diagnostic accuracy (sensitivity/specificity of more than 98% @ 150 par/µL) with minimal training or maintenance.
To date, Parasight has been sold to healthcare providers in 16 countries across Asia, Africa, and Europe, with more than 300,000 malaria tests shipped.
Visithttp://www.sightdx.com to learn more.

Overview

A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test and each leaf node represents a class label (decision taken after computing all attributes). The paths from root to leaf represents classification rules.

Zebra-Med’s Mammography algorithm aims to change that dynamic, by providing a state of the art clinical decision support product at a previously unprecedented price point (instead of Zebra-Med’s Mammography algorithm aims to change that dynamic, by providing a state of the art malignancy detection product at a previously unprecedented price point)....

Diagnostics provide information needed by service providers to make informed decisions about patient care and public health actions ... It also leads to continued reliance on empirical patient care or irrational diagnostic prescription, which are practices that not only waste scarce resources but are often also ineffective and harmful ... Technological advancements has led to the diagnostic sector growing and evolving very rapidly....

Developing Diagnostic Algorithms from Medical Data

Speaker: Alan Hubbard, Associate Professor of Biostatistics, UC BerkeleySponsor: CITRIS (Ctr for Information TechnologyResearch in the Interest of Society), UC Berkeley (Headquarters), Research Exchange seminar
Abstract:
The keeping of electronic medical records has led to an explosion of data and an academic industry that is trying to find patterns that predict illness, for instance based upon people's workplace, lifestyle habits, etc, or based on automated collection of medical data in a hospital setting. In this talk, I will discuss recent developments in algorithms behind such analyses and their applications to health survey, clinical and biomarker data.

21:56

Diagnostic Algorithms for Eosinophilia and Mastocytosis

Presentation 4 of 8 from the Mayo Clinic symposium, "Data-Driven Algorithms for Optimizing...

Watch on LabRoots at http://labroots.com/webinar/id/110Serology testing continues to be an indispensable tool for the management of several disease states, especially treponemal screening to monitor syphilis infection in the US. Come to this educational seminar to learn about key objectives in treponemal screening:
Discuss CDCGuidelines on treponemal screening: the necessity to perform two independent laboratory syphilis tests to confirm diagnosis
Describe diagnostic methods for diagnosing syphilis infection: the order in which they are performed impacts interpretation of results
Describe the potential benefits of screening with a treponema-specific IgG/IgM assay, followed by a non-treponemal test for confirmation: the “ReverseSequence” algorithm

24:21

HIV Diagnostics: New Tests and New Algorithms

This presentation July 2013 by Dr Bernard Branson from the CDC, highlights the latest HIV ...

HIV Diagnostics: New Tests and New Algorithms

This presentation July 2013 by Dr Bernard Branson from the CDC, highlights the latest HIV screening and supplemental tests available and how these tests fit within the new HIV laboratory testing algorithm.

In the United States, current HIV diagnostic algorithms based solely on serologic criteria for infection are inadequate for the timely diagnosis of acute or early HIV infection. Dr. Robert Coombs, professor of Laboratory Medicine and Medicine at the University of Washington, advises that future diagnostic algorithms should embrace simple/rapid antibody and HIV nucleic acid testing to support efforts to incorporate the concept of "presumptive HIV infection" into the early reporting of HIV test results. These simple/rapid test devices for detecting HIV infection will be very useful for point-of-care HIV testing in both resource-rich and resource- limited settings, but the limitations of these tests must be considered. A greater effort should be made to educate health care providers about the need for HIV diagnostic algorithms that incorporate these simple/rapid HIV test devices.
Robert Coombs, MD, PhD

Bayes, Medical Diagnostics, and Nomograms

(April 11, 2012) Joe Marasco shares his beliefs on how modern diagnostics and medical testing can be changed to give patients a clearer understanding of the results. He suggests implementing a new protocol using Bayes theorem and certain medical technologies to help explain testing results more effectively to patients.
Stanford University:
http://www.stanford.edu/
Stanford School of Engineering:
http://soe.stanford.edu/
StanfordComputer Systems Colloquium:
http://www.stanford.edu/class/ee380/
Stanford University Channel on YouTube:
http://www.youtube.com/stanford

Diagnostics 101 with Jon Skeet

No-one writes software without getting stuck from time to time. Whether it's an API not working as expected, an algorithm not producing the right results, or a vexing exception, it's a rare day when coding is just plain sailing. So what do you do when you hit a problem?
In this talk I'll walk through some strategies and techniques so that you can:
- Narrow down where a problem occurs
- Reproduce the problem in a debug-friendly environment
- Write a log as you go, to avoid going down blind alleys multiple times
- Capture your problem concisely but precisely, to ask colleagues for help, report a bug or post on Stack Overflow.
While there are no true silver bullets in computing, the ability to work on solving problems in a methodical way is as close as I've found. Level up today!
Speaker: Jon Skeet (Special guest - Microsoft MVP)

Sympathy and Confidence are new fault remediation systems that improve the quality and quantity of data recovered from embedded networked sensing (ENS) systems. Unreliable collection systems result in missing data points, and faulty or confusing sensor data further reduce the quantity of usable data recovered from a deployment. Unfortunately faults in ENS systems occur at a higher rate, and are harder to find and fix, compared with conventional systems. I will talk about two methodologies that we have developed to find and fix faults in ENS deployments. Sympathy uses a high-level decision tree to analyze a small set of carefully chosen metrics and to suggest actions users can take to fix data-flow disruptions in the network. Sympathy has been effective for managing network health in numerous real-world deployments since 2006, but its static algorithms proved insufficient for data faults. Our second system, Confidence, combines the successes of Sympathy with dynamic algorithms that more readily adapt to detecting data faults in new and unexpected environments. Confidence builds on three key ideas: 1) A flexible, multidimensional feature space that tends to group nodes and sensors that have similar fault states; 2) a transparent system design that both aids and profits from the user's intuition; and 3) efficient incorporation of user feedback into fault detection and diagnosis algorithms. User feedback, in particular, makes Confidence quickly adapt to new deployment scenarios and previously unobserved types of faults. We have successfully deployed both Sympathy and Confidence alongside many ENS deployments in California and Bangladesh, including a long-term deployment at James Reserve of 130 sensors.

Zebra-Med’s Mammography algorithm aims to change that dynamic, by providing a state of the art clinical decision support product at a previously unprecedented price point (instead of Zebra-Med’s Mammography algorithm aims to change that dynamic, by providing a state of the art malignancy detection product at a previously unprecedented price point)....

Diagnostics provide information needed by service providers to make informed decisions about patient care and public health actions ... It also leads to continued reliance on empirical patient care or irrational diagnostic prescription, which are practices that not only waste scarce resources but are often also ineffective and harmful ... Technological advancements has led to the diagnostic sector growing and evolving very rapidly....

In the development process, algorithms for controlling lane changes are an important topic of study ... Most existing lane-change algorithms employed by such cars today have one of two drawbacks ... The MIT researchers have developed a new algorithm which splits the difference ... MIT’s algorithm uses a simplistic model using only a few equation variables — that the system can evaluate it on the fly....

Polymer TechnologySystemsDiagnostics, an Indianapolis-based company that makes handheld medical-testing devices for cholesterol and blood sugar, announced plans Thursday to build a global headquarters in Whitestown where it will move its local operations ... The lease at PTSDiagnostics' facility in Indianapolis expires in 2019 ... PTS was founded by a former RocheDiagnostics Corp....

FMI, +1.18% today announced a collaboration with Merck, known as MSD outside the United States and Canada, to develop companion diagnostic tests for use with KEYTRUDA [®] (pembrolizumab), Merck’s anti-PD-1 therapy and the first approved immunotherapy for microsatellite instability (MSI) high or mismatch repair deficient solid tumors ... The companies will collaborate on the development of a pan-cancer companion diagnostic to measure MSI....

Researchers used an efficient predictive control platform to run their algorithm, which can rapidly determine upcoming actions and increases the algorithm's speed by two orders of magnitude over similar systems. While other algorithms execute in about 100 milliseconds, the researchers' algorithm takes less than one millisecond....

A judge on Wednesday found the state Department of Human Services in contempt of court for violating his order that barred it from using an algorithm to award hours of home-based care to disabled Medicaid recipients ... He barred the department from using the algorithm until it had properly enacted a rule authorizing it ... Department officials contend the use of the algorithm is required under the federal waiver authorizing ARChoices....

NEWHAVEN, Conn., May 24, 2018 (GLOBE NEWSWIRE) -- Specialty cancer diagnostics company Precipio, Inc ... “It brings us great satisfaction to work together to expand our offering of diagnostic tests and address the emerging potential for ICECOLD-PCRDNA enrichment for use with liquid biopsies.”....

A judge on Wednesday found the state Department of Human Services in contempt of court for violating his order that barred it from using an algorithm to award hours of home-based care to disabled Medicaid recipients ... He barred the department from using the algorithm until it had properly enacted a rule authorizing it ... Department officials contend the use of the algorithm is required under the federal waiver authorizing ARChoices....

DUNEDIN, New Zealand, May 24, 2018 /PRNewswire/ -- The addition of Cxbladder Monitor for bladder cancer surveillance has been shown to enable physicians to reduce the overall number of diagnostic tests being ordered, potentially reducing the total cost of monitoring and reducing complications related to unnecessary tests ... It is the third of Pacific Edge's suite of Cxbladder cancer diagnostic tests available for use by US physicians....